How does Google Compute Engine handle sudden spikes in traffic with autoscaling?
- Google Compute Engine uses predictive algorithms and historical data analysis to anticipate traffic spikes and proactively scale resources before they occur.
- Google Compute Engine relies on manual intervention to detect and respond to sudden traffic spikes, requiring human operators to initiate scaling actions based on real-time monitoring and analysis.
- Google Compute Engine automatically provisions additional resources when traffic exceeds predefined thresholds, without considering historical patterns or future trends.
- Google Compute Engine relies on static scaling rules and predefined thresholds to handle traffic spikes, without considering dynamic changes in workload patterns or external factors.
Understanding how Google Compute Engine handles sudden spikes in traffic is crucial for designing resilient and scalable infrastructure deployments. By leveraging predictive analytics and automation, organizations can ensure reliable performance and cost-effective resource utilization under varying workload conditions.
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